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Most devs "chat" with AI. Engineers "program" it. In Day 1 of my AI for Engineers series, I’m breaking down the exact framework I use at Google to get production-ready code on the first try. Stop wasting time fixing AI hallucinations and start using C.R.A.F.T. Inside this video: 1. Why "Write a login page" is a bad prompt. 2. The 5 pillars of the C.R.A.F.T. Framework. 3. A live demo: Junior vs. Senior prompting. The C.R.A.F.T. Template: [ROLE]: Act as a Senior [Language/Tech] Engineer specializing in [Specialty, e.g., Scalability/Security].[CONTEXT]: I am working on a [Project Type] using [Stack]. The current environment is [Development/Production].[ACTION]: [Specific Task, e.g., Refactor this function/Write a unit test] to achieve [Goal, e.g., $O(n \log n)$ complexity].[FORMAT]: Return only the code block with [JSDoc/Comments] and no conversational filler.[TARGET]: The output should be optimized for [Target Audience or Constraint, e.g., Junior Dev readability/Low memory usage]. #promptengineering #softwareengineer #googleengineer #ai #coding #productivity #monaspective #softwaredevelopment #geminiai #chatgpt #tech #careeradvice #programming prompt engineering, software engineering, google engineer, ai for developers, craft framework, generative ai, coding productivity, react js, gemini ai, chatgpt for developers, programming tips, artificial intelligence, software development, monaspective, technical career, junior to senior developer, ai automation, prompt patterns, coding tutorial, engineering workflow